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arXiv:2602.23792v1 Announce Type: new Abstract: Diffusion-based large language models (dLLMs) have shown promising performance across various reasoning tasks, establishing themselves as an alternative to autoregressive …
arXiv:2602.23826v1 Announce Type: new Abstract: We present GLUScope, an open-source tool for analyzing neurons in Transformer-based language models, intended for interpretability researchers. We focus on …
arXiv:2602.23845v1 Announce Type: new Abstract: Chinese text correction has traditionally focused on spelling and grammar, while factual error correction is usually treated separately. However, in …
arXiv:2602.23928v1 Announce Type: new Abstract: We show that large language models (LLMs) have an astonishing ability to recover meaning from severely degraded English texts. Texts …
arXiv:2602.23940v1 Announce Type: new Abstract: Transformer-based models such as BERT have significantly advanced Natural Language Processing (NLP) across many languages. However, Nepali, a low-resource language …
arXiv:2602.23941v1 Announce Type: new Abstract: This paper introduces a dataset of enriched geographic coordinates retrieved from Diderot and d'Alembert's eighteenth-century Encyclopedie. Automatically recovering geographic coordinates …
arXiv:2602.23944v1 Announce Type: new Abstract: Memory systems address the challenge of context loss in Large Language Model during prolonged interactions. However, compared to human cognition, …
arXiv:2602.23993v1 Announce Type: new Abstract: We present gradiend, an open-source Python package that operationalizes the GRADIEND method for learning feature directions from factual-counterfactual MLM and …
arXiv:2602.24002v1 Announce Type: new Abstract: Spanish is the official language of twenty-one countries and is spoken by over 441 million people. Naturally, there are many …
arXiv:2602.24060v1 Announce Type: new Abstract: Large language models (LLMs) with reasoning capabilities have fueled a compelling narrative that reasoning universally improves performance across language tasks. …
arXiv:2602.24082v1 Announce Type: new Abstract: Resource-efficient training optimization techniques are becoming increasingly important as the size of large language models (LLMs) continues to grow. In …
arXiv:2602.24109v1 Announce Type: new Abstract: Can narratives make arguments more persuasive? And to this end, which narrative features matter most? Although stories are often seen …